BMO Report | Page 14

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She expects continued improvements to client experience alongside a sharper focus on decision velocity: the speed at which insights generated by AI translate into action. For Kristin, this is the natural next step once the underlying data and governance foundations are in place.
“ Decision velocity is where you take the insights that you’ re generating with the AI, but you’ re helping speed up decisions of our executive teams and our bankers,” Kristin explains.“ The faster I can help them take an insight and act on it, that’ s the decision velocity we’ re looking for.”
Why partnerships are‘ everything’ Realising that aforementioned ambition is not something BMO expects to achieve on its own, which is why a network of technology partners matters so much. After all, no single organisation can keep pace with AI innovation alone.
“ Our partnerships are everything,” she says.“ We don’ t just partner for partnership’ s sake. We align them all to our clear business outcomes and our clients’ needs.”
BMO’ s collaboration with AWS, for example, is focused on deploying agentic AI across the bank at scale.
Alongside this, BMO works closely with Microsoft to advance generative AI and employee productivity tools such as Copilot, building on the foundations laid by its early workforce rollout.
IBM is another significant partner. BMO was the first Canadian bank to join the IBM Quantum Network, a programme giving members access to IBM’ s quantum computing hardware and expertise.
“ That’ s where all of my quantum research is conducted: on the IBM Quantum machine,” Kristin adds.
What’ s more, the bank’ s ecosystem also includes Quantum Industry Canada, an industry association for the country’ s quantum sector, the Chicago Quantum Exchange, a research partnership focused on quantum technology, and the Vector Institute for Artificial Intelligence, a Canadian AI research organisation.
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